Structural Genomics Consortium (SGC)

@thesgc.bsky.social

A public-private partnership seeking to accelerate drug discovery through pre-competitive, open access research. More about us at thesgc.org

@thesgc.bsky.social is generating large/open screening data and inviting data scientists to train their ML models via DREAM challenges: 1- train your model on DEL data 2- retrospectively predict 138 ASMS true positives 3- predict new hits. We will test them and publish together. bit.ly/3YXVKoT

First DREAM Target 2035 Drug Discovery Challenge

'First DREAM Target 2035 Drug Discovery Challenge' (Synapse ID: syn65660836) is a project on Synapse. Synapse is a platform for supporting scientific collaborations centered around shared biomedic...

bit.ly

Advancing AI-driven drug discovery begins with open, high-quality data. A great editorial with the authors highlighting how openly accessible datasets have historically accelerated scientific breakthroughs and spotlighting our open data platform: aircheck.ai More: www.science.org/doi/10.1126/...

AI drug development’s data problem

The future of drug discovery may be artificial intelligence (AI), but its present is not. AI is in its infancy in the field. To help AI mature, developers need nonproprietary, open, large, high-qualit...

science.org

Advancing ML and drug discovery. @thesgc.bsky.social is now starting to generate protein-ligand data at scale. We’re partnering with CASP, CACHE and DREAM/Sage to run challenges on these data, and help critically assess computational hit-finding methods. Participate! www.synapse.org/Synapse:syn6...

First DREAM Target 2035 Drug Discovery Challenge

'First DREAM Target 2035 Drug Discovery Challenge' (Synapse ID: syn65660836) is a project on Synapse. Synapse is a platform for supporting scientific collaborations centered around shared biomedic...

synapse.org

"CACHE Challenge 2: Targeting the RNA Site of the SARS-CoV-2 Helicase Nsp13" is out now on ChemRxiv: dx.doi.org/10.26434/che... You can find a discussion of our workflow and designed compound in the preprint (WF1438), which was among 13 compounds confirmed to bind to Nsp13.

CACHE Challenge #2: Targeting the RNA Site of the SARS-CoV-2 Helicase Nsp13

A critical assessment of computational hit finding experiments (CACHE) challenge was conducted to predict ligands for the SARS-CoV-2 Nsp13 helicase RNA binding site, a highly conserved COVID-19 target...

dx.doi.org

A new study revealed 4 distinct mechanisms through which small molecules can inhibit helicase activity. Through their analysis, they identified key binding pockets that could be targeted for drug discovery and development for cancer and infectious diseases. pubs.acs.org/doi/10.1021/...

Structural Chemistry of Helicase Inhibition

Helicases are essential motor enzymes that couple nucleoside-triphosphate hydrolysis with DNA or RNA strand unwinding. Helicases are integral to replication, transcription, splicing, and translation o...

pubs.acs.org

Can you love computational work and experimental research at the same time? @mattschap.bsky.social and @rjharding.bsky.social have kicked off the first CrossTALK Bootcamp and they are ready to bring together the next generation of drug discovery experts! www.thesgc.org/blogs/bridgi...

Bridging the Gap: CrossTALK Bootcamp Unites Computational and Experimental Scientists for Drug Discovery | Structural Genomics Consortium

By Sofia Melliou

thesgc.org

🥳New paper from the lab!🍾 Excited to share our work with the Stefan Knapp lab (Goethe Uni, @thesgc.bsky.social & DKTK), published in J. Med. Chem. @pubs.acs.org. Here, we present the first degraders (PROTACs) targeting CK1 δ/ε—highly selective across the kinome & within the Casein kinase 1 family. 🧵

Development and Discovery of a Selective Degrader of Casein Kinases 1 δ/ε

Members of the casein kinase 1 (CK1) family have emerged as key regulators of cellular signaling and as potential drug targets. Functional annotation of the 7 human isoforms would benefit from isoform...

pubs.acs.org